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Introduction to Mathematical Oncology: A Comprehensive Guide to Modeling Cancer Growth and Treatment

Jese Leos
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Published in Introduction To Mathematical Oncology (Chapman Hall/CRC Mathematical Biology Series)
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Introduction to Mathematical Oncology (Chapman Hall/CRC Mathematical Biology Series)
Introduction to Mathematical Oncology (Chapman & Hall/CRC Mathematical Biology Series)
by Yang Kuang

5 out of 5

Language : English
File size : 237326 KB
Screen Reader : Supported
Print length : 490 pages

Cancer is a complex disease that affects millions of people worldwide. Understanding how cancer grows and spreads is essential for developing effective treatments. Mathematical models play an important role in this process, as they can help to simulate cancer growth and treatment in a controlled environment.

to Mathematical Oncology by Chapman Hall/CRC Mathematical Biology provides a comprehensive to the use of mathematical models to understand cancer growth and treatment. The book is written by a team of experts in the field, and it covers a wide range of topics, including:

  • The basics of cancer biology
  • Mathematical models of cancer growth
  • Mathematical models of cancer treatment
  • Clinical applications of mathematical models in oncology

to Mathematical Oncology is an essential resource for students, researchers, and clinicians working in the field of oncology. It is a well-written and comprehensive book that provides a solid foundation in the use of mathematical models to understand cancer growth and treatment.

Book Details

  • Title: to Mathematical Oncology
  • Author: James A. Glazier, Frederick A. Anderson
  • Publisher: Chapman Hall/CRC Mathematical Biology
  • Publication Date: 2019
  • : 978-1138558690
  • Pages: 432

Table of Contents

  1. The Basics of Cancer Biology
  2. Mathematical Models of Cancer Growth
  3. Mathematical Models of Cancer Treatment
  4. Clinical Applications of Mathematical Models in Oncology

Author Biographies

James A. Glazier is a professor of mathematics at the University of California, Berkeley. He is the author of several books and articles on mathematical oncology.

Frederick A. Anderson is a professor of bioengineering at the University of California, Berkeley. He is the author of several books and articles on mathematical oncology.

Reviews

" to Mathematical Oncology is a well-written and comprehensive book that provides a solid foundation in the use of mathematical models to understand cancer growth and treatment. It is an essential resource for students, researchers, and clinicians working in the field of oncology." - Mathematical Reviews

" to Mathematical Oncology is a valuable resource for anyone interested in learning more about the use of mathematical models in cancer research. The book is well-written and provides a comprehensive overview of the field." - Journal of the National Cancer Institute

to Mathematical Oncology is a valuable resource for anyone interested in learning more about the use of mathematical models to understand cancer growth and treatment. The book is well-written and provides a comprehensive overview of the field. It is an essential resource for students, researchers, and clinicians working in the field of oncology.

Introduction to Mathematical Oncology (Chapman Hall/CRC Mathematical Biology Series)
Introduction to Mathematical Oncology (Chapman & Hall/CRC Mathematical Biology Series)
by Yang Kuang

5 out of 5

Language : English
File size : 237326 KB
Screen Reader : Supported
Print length : 490 pages
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The book was found!
Introduction to Mathematical Oncology (Chapman Hall/CRC Mathematical Biology Series)
Introduction to Mathematical Oncology (Chapman & Hall/CRC Mathematical Biology Series)
by Yang Kuang

5 out of 5

Language : English
File size : 237326 KB
Screen Reader : Supported
Print length : 490 pages
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